Eye-Diagram Measurement of High-Speed Digital Signals using Sampling Oscilloscope with Time-Base Correction

2020 ◽  
Author(s):  
Yichi Zhang ◽  
Jingyuan Miao ◽  
Zilong Zhang ◽  
Meining Nie ◽  
Zhao He ◽  
...  
Keyword(s):  
High Speed ◽  
Time Base ◽  
Digital Signals ◽  
Eye Diagram ◽  
Sampling Oscilloscope

Fast and Accurate Estimation of Statistical Eye Diagram for Nonlinear High-Speed Links

2021 ◽  
pp. 1-9
Author(s):  
Xiuqin Chu ◽  
Wenting Guo ◽  
Jun Wang ◽  
Feng Wu ◽  
Yuhuan Luo ◽  
...  
Keyword(s):  
High Speed ◽  
Accurate Estimation ◽  
Eye Diagram

DESIGNING OF ALL-OPTICAL TRI-STATE LOGIC SYSTEM WITH THE HELP OF OPTICAL NONLINEAR MATERIAL

2008 ◽  
Vol 17 (03) ◽  
pp. 315-328 ◽  
Author(s):  
TANAY CHATTOPADHYAY ◽  
GOUTAM KUMAR MAITY ◽  
JITENDRA NATH ROY
Keyword(s):  
High Speed ◽  
Optical Switch ◽  
Digital Signal ◽  
Optical Signal ◽  
Nonlinear Material ◽  
Digital Signals ◽  
Photonic Networks ◽  
Optical Nonlinear Material ◽  
All Optical ◽  
Logic Operations

Nonlinear optics has been of increased interest for all-optical signal, data and image processing in high speed photonic networks. The application of multi-valued (nonbinary) digital signals can provide considerable relief in transmission, storage and processing of a large amount of information in digital signal processing. Here, we propose the design of an all-optical system for some basic tri-state logic operations (trinary OR, trinary AND, trinary XOR, Inverter, Truth detector, False detector) which exploits the polarization properties of light. Nonlinear material based optical switch can play an important role. Tri-state logic can play a significant role towards carry and borrow free arithmetic operations. The principles and possibilities of the design of nonlinear material based tri-state logic circuits are proposed and described.

Calculation of the Worst-Case Data Patterns and Eye Diagram for Nonlinear High-Speed Links

2021 ◽  
pp. 1-5
Author(s):  
Xiuqin Chu ◽  
Na Li ◽  
Jun Wang ◽  
Yuhuan Luo ◽  
Feng Wu ◽  
...  
Keyword(s):  
High Speed ◽  
Worst Case ◽  
Eye Diagram ◽  
Case Data

A 25 Gbps VCSEL driving ASIC: an attempt for ultra-high-speed front-end readout applications

2022 ◽  
Vol 17 (01) ◽  
pp. C01040
Author(s):  
C. Zhao ◽  
D. Guo ◽  
Q. Chen ◽  
N. Fang ◽  
Y. Gan ◽  
...  
Keyword(s):  
High Speed ◽  
Cmos Technology ◽  
Test Results ◽  
Eye Diagram ◽  
Optical Links ◽  
Optical Module ◽  
Active Feedback ◽  
High Bandwidth ◽  
Output Driver ◽  
Very High

Abstract This paper presents the design and the test results of a 25 Gbps VCSEL driving ASIC fabricated in a 55 nm CMOS technology as an attempt for the future very high-speed optical links. The VCSEL driving ASIC is composed of an input equalizer stage, a pre-driver stage and a novel output driver stage. To achieve high bandwidth, the pre-driver stage combines the inductor-shared peaking structure and the active-feedback technique. A novel output driver stage uses the pseudo differential CML driver structure and the adjustable FFE pre-emphasis technique to improve the bandwidth. This VCSEL driver has been integrated in a customized optical module with a VCSEL array. Both the electrical function and optical performance have been fully evaluated. The output optical eye diagram has passed the eye mask test at the data rate of 25 Gbps. The peak-to-peak jitter of 25 Gbps optical eye is 19.5 ps and the RMS jitter is 2.9 ps.

scholarly journals Evaluation of speech signal features extraction methods

2020 ◽  
Vol 2 (1) ◽  
pp. 69-78
Author(s):  
Ismail Shayeb ◽  
Naseem Asad ◽  
Ziad Alqadi ◽  
Qazem Jaber
Keyword(s):  
Speech Signal ◽  
High Speed ◽  
Research Paper ◽  
Extraction Methods ◽  
Features Extraction ◽  
Experimental Results ◽  
Extraction Time ◽  
Digital Signals ◽  
Human Speech ◽  
Signal Features

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.

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